TaptapSend - Head of Analytics Engineering
Requirements
• 7+ years in a data role (Analytics Eng and/or Data Science) • Strong SQL skills, and comfortable working with large, complex datasets in dbt • Strong communication and stakeholder management skills • Hands-on experience with cloud tech (e.g. AWS, GCP or Azure) and a modern cloud warehouse (e.g. Redshift, Snowflake, BigQuery) • Fluency with modern BI tools (e.g. Looker, Mode etc.) and what it takes to enable real self-serve • Detail-oriented and pragmatic, with a ‘no task too small’ attitude • Experience in a high-pace context – e.g. startup or scale-up • Experience leading cross-functional projects with Finance, Engineering or Product • TAPTAP VALUES https://www.taptapsend.com/our-values • Propose solutions • Be proactively candid, with yourself and others • Love the particular • Create positive energy • Maybe, even have fun
Responsibilities
• Own dbt transformation. Design and build the mission-critical models, and the standards, tests and docs that keep them reliable and performant at scale • Pre-empt problems. Produce the dashboards, alerts and tools that surface the issues before they become incidents • Ensure self-serve data. Build the knowledge layer, docs and quality checks, so others can drive their own analysis • Use AI effectively. Use AI tools and agents across the modelling lifecycle — from accelerating dbt development to improving data quality — and help the rest of the team do the same • Tackle meaty domain problems e.g. via high-priority special data projects • Champion Data. Peer-review code, share best practice at weekly meetups, mentor the team, and raise the bar for data best practice at the company
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